Triple
T27352741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. H. Saunders Generating Station |
E684405
|
entity |
| Predicate | hasHVDCConverterStationNearby |
P162216
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [R. H. Saunders Generating Station, hasHVDCConverterStationNearby, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHVDCConverterStationNearby Context triple: [R. H. Saunders Generating Station, hasHVDCConverterStationNearby, yes]
-
A.
hasNearbyPowerPlants
Indicates that one entity is located close to one or more power plants.
-
B.
hasElectricalSubstation
Indicates that one entity possesses, contains, or is served by an electrical substation associated with it.
-
C.
hasStationNear
Indicates that one entity has a station located in close proximity to another entity.
-
D.
hasHydroelectricInfrastructureNearby
Indicates that there is hydroelectric infrastructure located in close proximity to the referenced entity.
-
E.
hasNuclearPowerPlantNearby
Indicates that an entity is located close to at least one nuclear power plant.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62c1b91e881908798e4f00723efcb |
completed | May 2, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69f620e4b1c88190a17940251abc68fd |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 27, 2026, 11:49 a.m.